<?xml version="1.0" encoding="utf-8"?>
<feed xmlns="http://www.w3.org/2005/Atom"><title>PyVideo.org - PyData</title><link href="https://pyvideo.org/" rel="alternate"></link><link href="https://pyvideo.org/feeds/event_pydata.atom.xml" rel="self"></link><id>https://pyvideo.org/</id><updated>2012-03-30T00:00:00+00:00</updated><subtitle></subtitle><entry><title>Advanced matplotlib tutorial with library author John Hunter</title><link href="https://pyvideo.org/pydata/advanced-matplotlib-tutorial-library-author-john-h.html" rel="alternate"></link><published>2012-03-30T00:00:00+00:00</published><updated>2012-03-30T00:00:00+00:00</updated><author><name>John Hunter</name></author><id>tag:pyvideo.org,2012-03-30:/pydata/advanced-matplotlib-tutorial-library-author-john-h.html</id><summary type="html">&lt;h3&gt;Summary&lt;/h3&gt;&lt;p&gt;In this video tutorial from the 2012 PyData Workshop, John Hunter,
author of matplotlib is going to give you some advanced insight into the
plotting library.&lt;/p&gt;
&lt;h3&gt;Description&lt;/h3&gt;&lt;p&gt;John's tutorial will focus on broader topics concerning a wide set of
users, including:&lt;/p&gt;
&lt;ul class="simple"&gt;
&lt;li&gt;customization&lt;/li&gt;
&lt;li&gt;configuration&lt;/li&gt;
&lt;li&gt;event handling&lt;/li&gt;
&lt;li&gt;interacting with figures&lt;/li&gt;
&lt;li&gt;tips …&lt;/li&gt;&lt;/ul&gt;</summary><content type="html">&lt;h3&gt;Summary&lt;/h3&gt;&lt;p&gt;In this video tutorial from the 2012 PyData Workshop, John Hunter,
author of matplotlib is going to give you some advanced insight into the
plotting library.&lt;/p&gt;
&lt;h3&gt;Description&lt;/h3&gt;&lt;p&gt;John's tutorial will focus on broader topics concerning a wide set of
users, including:&lt;/p&gt;
&lt;ul class="simple"&gt;
&lt;li&gt;customization&lt;/li&gt;
&lt;li&gt;configuration&lt;/li&gt;
&lt;li&gt;event handling&lt;/li&gt;
&lt;li&gt;interacting with figures&lt;/li&gt;
&lt;li&gt;tips &amp;amp; tricks&lt;/li&gt;
&lt;/ul&gt;
</content><category term="PyData"></category><category term="matplotlib"></category></entry><entry><title>PyData: Data Analysis in Python with Pandas</title><link href="https://pyvideo.org/pydata/pydata-data-analysis-in-python-with-pandas.html" rel="alternate"></link><published>2012-03-30T00:00:00+00:00</published><updated>2012-03-30T00:00:00+00:00</updated><author><name>Wes McKinney</name></author><id>tag:pyvideo.org,2012-03-30:/pydata/pydata-data-analysis-in-python-with-pandas.html</id><summary type="html">&lt;h3&gt;Summary&lt;/h3&gt;&lt;p&gt;Coming from the 2012 PyData Workshop, Wes McKinney, CTO and cofounder of
Lambda Foundry, gives us a tour of Pandas, a rich data manipulation tool
built on top of NumPy. Frustrated with working in R, Wes started
building Pandas in 2008 with a focus on fast, intuitive data structures …&lt;/p&gt;</summary><content type="html">&lt;h3&gt;Summary&lt;/h3&gt;&lt;p&gt;Coming from the 2012 PyData Workshop, Wes McKinney, CTO and cofounder of
Lambda Foundry, gives us a tour of Pandas, a rich data manipulation tool
built on top of NumPy. Frustrated with working in R, Wes started
building Pandas in 2008 with a focus on fast, intuitive data structures
and data manipulation capabilities. The Pandas project has seen huge
growth in the last few years, and aims to be the ultimate data tool for
Python.&lt;/p&gt;
</content><category term="PyData"></category><category term="numpy"></category><category term="pandas"></category></entry><entry><title>Tutorial: scikit-learn - Machine Learning in Python</title><link href="https://pyvideo.org/pydata/tutorial-scikit-learn-machine-learning-python.html" rel="alternate"></link><published>2012-03-30T00:00:00+00:00</published><updated>2012-03-30T00:00:00+00:00</updated><author><name>Jacob VanderPlas</name></author><id>tag:pyvideo.org,2012-03-30:/pydata/tutorial-scikit-learn-machine-learning-python.html</id><summary type="html">&lt;h3&gt;Summary&lt;/h3&gt;&lt;p&gt;In this video tutorial from PyData Workshop, scikit-learn contributer
Jacob VanderPlas is going to give you an overview of machine learning in
Python using scikit-learn.&lt;/p&gt;
&lt;p&gt;He'll talk about general machine learning concepts, as well as walk you
through a few exercises that demonstrate how you can use machine
learning …&lt;/p&gt;</summary><content type="html">&lt;h3&gt;Summary&lt;/h3&gt;&lt;p&gt;In this video tutorial from PyData Workshop, scikit-learn contributer
Jacob VanderPlas is going to give you an overview of machine learning in
Python using scikit-learn.&lt;/p&gt;
&lt;p&gt;He'll talk about general machine learning concepts, as well as walk you
through a few exercises that demonstrate how you can use machine
learning technology.&lt;/p&gt;
</content><category term="PyData"></category><category term="scikit-learn"></category></entry><entry><title>Boosting NumPy with Numexpr and Cython</title><link href="https://pyvideo.org/pydata/boosting-numpy-with-numexpr-and-cython.html" rel="alternate"></link><published>2012-03-02T00:00:00+00:00</published><updated>2012-03-02T00:00:00+00:00</updated><author><name>Francesc Alted</name></author><id>tag:pyvideo.org,2012-03-02:/pydata/boosting-numpy-with-numexpr-and-cython.html</id><content type="html">&lt;h3&gt;Summary&lt;/h3&gt;&lt;p&gt;In this video from the 2012 PyData Workshop Francesc Alted from
Continuum Analytics is going to show you how you can boost NumPy with
Numexpr and Cython.&lt;/p&gt;
&lt;h3&gt;Description&lt;/h3&gt;&lt;p&gt;Topics covered include:&lt;/p&gt;
&lt;ul class="simple"&gt;
&lt;li&gt;The era of Big Data&lt;/li&gt;
&lt;li&gt;NumPy and its ecosystem&lt;/li&gt;
&lt;li&gt;Numexpr&lt;/li&gt;
&lt;li&gt;Cython&lt;/li&gt;
&lt;/ul&gt;
</content><category term="PyData"></category><category term="cython"></category><category term="numexpr"></category><category term="numpy"></category></entry><entry><title>Image Processing in Python with scikits-image</title><link href="https://pyvideo.org/pydata/image-processing-in-python-with-scikits-image.html" rel="alternate"></link><published>2012-03-02T00:00:00+00:00</published><updated>2012-03-02T00:00:00+00:00</updated><author><name>Stéfan van der Walt</name></author><id>tag:pyvideo.org,2012-03-02:/pydata/image-processing-in-python-with-scikits-image.html</id><summary type="html">&lt;h3&gt;Summary&lt;/h3&gt;&lt;p&gt;In this video from the 2012 PyData Workshop, Stéfan van der Walt is
going to give you an in-depth look at scikits-image, the image
processing toolbox for Python.&lt;/p&gt;
&lt;p&gt;Stefan will talk about the wide application for image processing in
industry, and demonstrate how you can use scikits-image to solve …&lt;/p&gt;</summary><content type="html">&lt;h3&gt;Summary&lt;/h3&gt;&lt;p&gt;In this video from the 2012 PyData Workshop, Stéfan van der Walt is
going to give you an in-depth look at scikits-image, the image
processing toolbox for Python.&lt;/p&gt;
&lt;p&gt;Stefan will talk about the wide application for image processing in
industry, and demonstrate how you can use scikits-image to solve
specific industry problems.&lt;/p&gt;
</content><category term="PyData"></category></entry><entry><title>Python in Big Data with an overview of NumPy &amp; SciPy</title><link href="https://pyvideo.org/pydata/python-in-big-data-with-an-overview-of-numpy-sc.html" rel="alternate"></link><published>2012-03-02T00:00:00+00:00</published><updated>2012-03-02T00:00:00+00:00</updated><author><name>Travis Oliphant</name></author><id>tag:pyvideo.org,2012-03-02:/pydata/python-in-big-data-with-an-overview-of-numpy-sc.html</id><summary type="html">&lt;h3&gt;Summary&lt;/h3&gt;&lt;p&gt;Travis Oliphant, CEO of Continuum Analytics, kicks off the PyData
Workshop with a talk on Python in Big Data. Topics addressed include
what Python has to offer the world of Big Data, specific use-cases, as
well asking why Hadoop is considered the de-facto standard.&lt;/p&gt;
&lt;p&gt;Additionally, Travis gives an overview …&lt;/p&gt;</summary><content type="html">&lt;h3&gt;Summary&lt;/h3&gt;&lt;p&gt;Travis Oliphant, CEO of Continuum Analytics, kicks off the PyData
Workshop with a talk on Python in Big Data. Topics addressed include
what Python has to offer the world of Big Data, specific use-cases, as
well asking why Hadoop is considered the de-facto standard.&lt;/p&gt;
&lt;p&gt;Additionally, Travis gives an overview of NumPy and SciPy.&lt;/p&gt;
</content><category term="PyData"></category><category term="hadoop"></category><category term="numpy"></category><category term="scipy"></category></entry><entry><title>The Disco MapReduce Framework</title><link href="https://pyvideo.org/pydata/the-disco-mapreduce-framework.html" rel="alternate"></link><published>2012-03-02T00:00:00+00:00</published><updated>2012-03-02T00:00:00+00:00</updated><author><name>Chris Mueller</name></author><id>tag:pyvideo.org,2012-03-02:/pydata/the-disco-mapreduce-framework.html</id><summary type="html">&lt;h3&gt;Summary&lt;/h3&gt;&lt;p&gt;Chris Mueller from Life Technologies introduces us to Disco, a MapReduce
framework built in Python and Erlang.&lt;/p&gt;
&lt;p&gt;Showing that Hadoop is not alone in the MapReduce world, Chris reviews
the basic MapReduce paradigm, dataflow, file and job distribution, and
goes on to explain the Disco Distributed Filesystem (DDFS) before …&lt;/p&gt;</summary><content type="html">&lt;h3&gt;Summary&lt;/h3&gt;&lt;p&gt;Chris Mueller from Life Technologies introduces us to Disco, a MapReduce
framework built in Python and Erlang.&lt;/p&gt;
&lt;p&gt;Showing that Hadoop is not alone in the MapReduce world, Chris reviews
the basic MapReduce paradigm, dataflow, file and job distribution, and
goes on to explain the Disco Distributed Filesystem (DDFS) before going
into some use- case scenarios in next generation genomic sequencing.&lt;/p&gt;
</content><category term="PyData"></category><category term="disco"></category><category term="mapreduce"></category></entry><entry><title>Workshop Panel with Guido van Rossum</title><link href="https://pyvideo.org/pydata/workshop-panel-with-guido-van-rossum.html" rel="alternate"></link><published>2012-03-02T00:00:00+00:00</published><updated>2012-03-02T00:00:00+00:00</updated><author><name>Guido Van Rossum</name></author><id>tag:pyvideo.org,2012-03-02:/pydata/workshop-panel-with-guido-van-rossum.html</id><summary type="html">&lt;h3&gt;Summary&lt;/h3&gt;&lt;p&gt;In this presentation from the 2012 PyData Workshop hosted at Google on
March 2-3, Guido van Rossum, author of the Python programming language,
engages in an open discussion on the intersection of the evolution of
Python and the growth of the scientific community. Panelists include
Fernando Perez, Travis Oliphant …&lt;/p&gt;</summary><content type="html">&lt;h3&gt;Summary&lt;/h3&gt;&lt;p&gt;In this presentation from the 2012 PyData Workshop hosted at Google on
March 2-3, Guido van Rossum, author of the Python programming language,
engages in an open discussion on the intersection of the evolution of
Python and the growth of the scientific community. Panelists include
Fernando Perez, Travis Oliphant, and David Cournapeau.&lt;/p&gt;
</content><category term="PyData"></category><category term="science"></category><category term="scientific"></category></entry></feed>